Hierarchical Mean-Field Deep Reinforcement Learning for Large-Scale Multiagent Systems.
Chao YuPublished in: AAAI (2023)
Keyphrases
- multiagent systems
- reinforcement learning
- multi agent
- multiagent reinforcement learning
- learning agents
- multiagent learning
- autonomous agents
- multiagent architecture
- decentralized control
- distributed artificial intelligence
- dynamic programming
- markov random field
- optimal policy
- coalition formation
- learning algorithm
- design methodologies
- trust model
- closed form
- temporal difference
- model free
- robotic soccer
- multi agent systems
- multiagent planning
- learning in multi agent systems
- intelligent agents
- state space
- machine learning
- agent coordination
- adjustable autonomy